Abstract: The present disclosure relates to a method and an assistance system for a relevance assessment of objects in an environment. The present disclosure also relates to a correspondingly configured motor vehicle. In a method, based on environment data, the individual relative movements of the objects relative to the motor vehicle are determined. On this basis, according to driving parameters specified for the motor vehicle, a respective distance is determined for each detected object, which is required behind the respective object to achieve a stable status. On this basis, a respective relevance check is carried out for the detected object, wherein the respective object is classified as relevant or not relevant for the controlling of the motor vehicle.

Abstract: A method and an object tracking unit for sensor-based object tracking and a correspondingly configured motor vehicle. In the method, objects which are only detected by a single one of multiple sensors are identified as single sensor objects. Corresponding object tracks, in which object data describing the respective object are stored, are then updated directly based on sensor data without using a predetermined filter. Other object tracks, to which no single sensor object was assigned, are updated based on the sensor data using the predetermined filter.

Abstract: A method and apparatus for sensor data fusion for a vehicle as well as a vehicle, a computer program, and a computer-readable storage medium are disclosed. A distance sensor (S1) is associated with the vehicle (F), and wherein in the method: fusion object data is provided which is representative of a fusion object (OF) determined in the vicinity of the vehicle (F); a directional characteristic value is determined which is representative of an angle (?) of the measurement direction (M) of the distance sensor (S1); a distance measurement value (d) of the distance sensor (S1) is detected; depending on the distance measurement value (d) and the directional characteristic value, a fusion object (OF) is determined to which the distance measurement value (d) and the directional characteristic value are assigned, and an innovated fusion object is determined depending on the distance measurement value (d), the directional characteristic value and the fusion object data.

Abstract: A control unit for a vehicle is designed to predict a driving tube for the vehicle, which driving tube surrounds a motion path ahead of the vehicle. The control unit detects an object ahead, for example a vehicle moving in or out. The control unit determines a reference point on the object and determines overlap information regarding overlap of the reference point with the driving tube. The control unit determines, on the basis of the overlap information, whether the object is penetrating into the driving tube of the vehicle.

Abstract: In the method, a predetermined first number of sensed positions (Pi) of the object (20) are provided, the positions being provided with respect to a vehicle coordinate system (K) of the vehicle (10). Depending on a predetermined second number of the provided positions, a second coordinate system (K?) is determined. The provided positions are transformed into the second coordinate system (K?) and a function is determined which approximates a course of the provided positions in the second coordinate system (K?). For a predetermined third number of sampling points of the function, at least one analytical property of the function is determined at the respective sampling point. The coordinates and the at least one analytical property of the respective sampling point are transformed into the vehicle coordinate system (K).

Abstract: In a method of operating a vehicle, sensor data comprising an object detection of a sensor of the vehicle is provided, the object detection being representative of a detected object. Further, a trust model is provided, wherein the trust model is configured to model a trust in object detection. Depending on the sensor data and the trust model, a trust value of the detected object is determined, the trust value of the detected object being representative of how high a trust in the detected object is. The vehicle is operated depending on the trust value of the detected object.

Abstract: A method for tracking extended objects in the surroundings of a vehicle includes the steps of: (a) providing modeled components for an object; (b) determining a detection from sensor data; and (c) determining the origin of the detection on the object using the modeled components. The process of determining the origin of the detection on the object includes determining association probabilities for the plurality of modeled components, in which the association probabilities indicate the degree of probability with which the detection is associated with the individual components of the modeled components.

Abstract: A method and device for sensor data fusion for a vehicle as well as a computer program and a computer-readable storage medium are disclosed. At least one sensor device (S1) is associated with the vehicle (F), and in the method, fusion object data is provided representative of a fusion object (OF) detected in an environment of the vehicle (F); sensor object data is provided representative of a sensor object (OS) detected by the sensor device (S1) in the environment of the vehicle (F); indicator data is provided representative of an uncertainty in the determination of the sensor object data; reference point transformation candidates of the sensor object (OS) are determined depending on the indicator data; and an innovated fusion object is determined depending on the reference point transformation candidates.

Abstract: A method for sensor data fusion for a vehicle includes providing current sensor object data that are representative of a sensor object st ascertained at the time t; providing fusion object data that are representative of fusion objects ftj? intended for sensor data fusion at the time t; providing a sensor object data record H including historical sensor object data that are representative of a sensor object st-ki, ascertained at a preceding time t?k; taking the sensor object data record H as a basis for ascertaining a reduced sensor object data record H?={St-k?t?k|k=1 . . . n}, wherein st denotes a sensor object associated with a fusion object ft at the time t; and taking the reduced sensor object data record H? as a basis for associating the sensor object st with a fusion object ftj and ascertaining a refreshed fusion object.

Abstract: In the method, a predetermined first number of sensed positions (Pi) of the object (20) are provided, the positions being provided with respect to a vehicle coordinate system (K) of the vehicle (10). Depending on a predetermined second number of the provided positions, a second coordinate system (K?) is determined. The provided positions are transformed into the second coordinate system (K?) and a function is determined which approximates a course of the provided positions in the second coordinate system (K?). For a predetermined third number of sampling points of the function, at least one analytical property of the function is determined at the respective sampling point. The coordinates and the at least one analytical property of the respective sampling point are transformed into the vehicle coordinate system (K).

Abstract: A method and device for sensor data fusion for a vehicle as well as a computer program and a computer-readable storage medium are disclosed. At least one sensor device (S1) is associated with the vehicle (F), and in the method, fusion object data is provided representative of a fusion object (OF) detected in an environment of the vehicle (F); sensor object data is provided representative of a sensor object (OS) detected by the sensor device (S1) in the environment of the vehicle (F); indicator data is provided representative of an uncertainty in the determination of the sensor object data; reference point transformation candidates of the sensor object (OS) are determined depending on the indicator data; and an innovated fusion object is determined depending on the reference point transformation candidates.

Abstract: A method for operating a driver assistance function of a vehicle includes determining a position of the vehicle, providing map data of a road map, providing current and historical traffic data depending on the position, providing a list of driver assistance functions, and determining whether a situation exists in which a driver assistance function of the list of driver assistance functions can be used depending on the position, the map data, and the current and historical traffic data. If it is determined that the situation exists, information is provided to a driver of the vehicle to set the driver assistance function.

Abstract: In a method of operating a vehicle, sensor data comprising an object detection of a sensor of the vehicle is provided, the object detection being representative of a detected object. Further, a trust model is provided, wherein the trust model is configured to model a trust in object detection. Depending on the sensor data and the trust model, a trust value of the detected object is determined, the trust value of the detected object being representative of how high a trust in the detected object is. The vehicle is operated depending on the trust value of the detected object.

Abstract: A method and apparatus for sensor data fusion for a vehicle as well as a vehicle, a computer program, and a computer-readable storage medium are disclosed. A distance sensor (S1) is associated with the vehicle (F), and wherein in the method: fusion object data is provided which is representative of a fusion object (OF) determined in the vicinity of the vehicle (F); a directional characteristic value is determined which is representative of an angle (?) of the measurement direction (M) of the distance sensor (S1); a distance measurement value (d) of the distance sensor (S1) is detected; depending on the distance measurement value (d) and the directional characteristic value, a fusion object (OF) is determined to which the distance measurement value (d) and the directional characteristic value are assigned, and an innovated fusion object is determined depending on the distance measurement value (d), the directional characteristic value and the fusion object data.

Abstract: Please replace the original Abstract with the following new Abstract: A control unit for a vehicle is designed to predict a driving tube for the vehicle, which driving tube surrounds a motion path ahead of the vehicle. The control unit detects an object ahead, for example a vehicle moving in or out. The control unit determines a reference point on the object and determines overlap information regarding overlap of the reference point with the driving tube. The control unit determines, on the basis of the overlap information, whether the object is penetrating into the driving tube of the vehicle.

Abstract: The invention relates to a friction lining for industrial brakes and drive elements, said lining including a dual-layer structure, a friction layer being connected to a backing layer. In such a friction lining which is particularly suited to industrial applications, the backing layer is inherently resilient and the friction layer and/or the backing layer is/are produced from a synthetic material-elastomer composite.